xpander.ai
Backend and Frontend for your AI Agents
xpander.ai launched on September 1, 2025 with 479 votes, #35 of 8,160 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
xpander.ai is a platform that provides both backend and frontend infrastructure for building and operating AI agents. It serves developers who want to deploy agentic systems without managing underlying infrastructure themselves, offering an alternative to workflow automation platforms, agent frameworks that require manual setup, and restrictive agent builder tools. The platform combines agent development with operational capabilities in a single solution.
written from the facts on this page · September 2026
From the sources
Tired of workflow automation platforms that aren't really agentic, agent frameworks that leave the infra work to you, and Agent Builder tools that are too opinionated and basic? xpander.ai's Agent Platform is the complete solution for AI Agent Dev and Ops
xpander is the enterprise AI agent platform that puts teams in control - per-user permissions, full audit trails, any model, any cloud. Start in minutes.
Deploy agents built in Claude and Codex to one governed environment the whole company can use. Permissioned, audited, budgeted. running in your infrastructure or ours. Deploy agents built in Claude and Codex to one governed environment the whole company can use. Permissioned, audited, budgeted. Running in your infrastructure or ours. These are the things that CIOs, IT leaders, and business application teams get from xpander.ai Teams are building and running agents in Claude, Codex, and similar tools, but they only live on a laptop: invisible to IT and gone the moment it shuts down. Bring them into one governed environment instead, without taking the tools away from the people already using…from xpander.ai
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SimplAI2025 · simplai.ai · ▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…
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